Modelling Learning Subjects as Relationships
نویسنده
چکیده
This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base. This structure is based on a systematic theory-driven connection of categorical and factual knowledge. It is further based on the idea, that relevant subjects in such a system should be propositions, represented as categorical relationships. Informal inferences between concept hierarchies and categorical relationships are presented. The structure is implemented in a system for training of art conservators in diagnostic knowledge. Multiple systematic ways are implemented to give the user access and overview over large amounts of such subject propositions, that try to overcome the typical mismatch between a userformulated request and the terms understood by the system, and the general disorientation of users in larger electronic media. The system is right now being presented to users with a first small population of cases.
منابع مشابه
Habitat modelling in GIMOLUS – webGIS-based e-learning modules using logistic regression to assess species-habitat relationships
Habitat modelling is a tool for regionalisation of biotic information by predicting the spatially explicit distribution of species on the basis of environmental properties. Since this recent method has a high relevance in questions of nature conservation and ecological research, there is a need to teach it in environmental studies. The multimedia GIMOLUS-environment provides all elements necess...
متن کاملPrediction of Iranian EFL Learners’ Learning Approaches Through Their Teachers’ Narrative Intelligence and Teaching Styles: A Structural Equation Modelling Analysis
It goes without saying that there are many influential factors affecting the success of any learning experience, and teachers are definitely among the significant factors influencing the process of teaching and learning. In this respect, the present study sought to investigate the prediction of Iranian English as a Foreign Language (EFL) learners' learning approaches through their teachers’ nar...
متن کاملOpen Learning Repositories and Metadata Modeling
Building repositories for e-learning is an iterative process and course content and course structure are always changing. We realized the necessity to separate content from structure of a given course during the conception of our first e-learning repository, which we called KBS-Hyperbook, several years ago at our institute. This system has been built around a conceptual model for structure and ...
متن کاملA Novel Machine Learning Based Prediction Model for Energy Expenditure in relation to Varying Load, Incline, and Body Composition
In this paper we use machine learning techniques to develop a model for the prediction of the energetic cost of walking on a positive incline while carrying a load given the subjects body composition. Previous studies on prediction of energy cost have failed to incorporate load, incline and body composition simultaneously in their predictive models. By leveraging a more robust set of features i...
متن کاملParameter learning but not structure learning: a Bayesian network model of constraints on early perceptual learning.
Visual scientists have shown that people are capable of perceptual learning in a large variety of circumstances. Are there constraints on such learning? We propose a new constraint on early perceptual learning, namely, that people are capable of parameter learning-they can modify their knowledge of the prior probabilities of scene variables or of the statistical relationships among scene and pe...
متن کامل